Global CIO Report Reveals the Challenges Organizations Face as Cloud Complexity Rises
Dynatrace (NYSE: DT) released a global survey revealing challenges faced by CIOs in managing cloud-native data. Key findings include that 71% of CIOs believe the data generated exceeds human management capabilities, while 77% report rapid changes in IT environments. Teams use an average of 10 monitoring tools, yet only 9% of their system is observable. 59% expressed concerns over operational complexity, and 64% struggle to attract skilled professionals. The report emphasizes the rising need for automation and AIOps to enhance data management and alleviate workforce strain.
- 93% of CIOs believe AIOps and automation are key to reducing workforce strain in IT and development.
- 71% of CIOs state data explosion from cloud-native stacks is unmanageable.
- Only 9% of environments are observable despite using an average of 10 monitoring tools.
- 59% fear operational overload due to increasing complexity.
- 64% find it harder to attract and retain skilled IT professionals.
- 45% deem current analytics solutions too costly to manage large volumes of data.
Nearly three-quarters of CIOs say the explosion of data produced by cloud-native technology stacks is beyond human ability to manage
The research reveals the following:
-
71% of CIOs say the explosion of data produced by cloud-native technology stacks is beyond human ability to manage. -
Over three quarters (
77% ) of CIOs say their IT environment changes once every minute or less. -
CIOs say their teams use an average of 10 monitoring tools across their technology stacks, but they have observability across just
9% of their environment. -
59% of CIOs say without a more automated approach to IT operations, their teams could soon become overloaded by the increasing complexity of their technology stack. -
64% of CIOs say it has become harder to attract and retain enough skilled IT ops and DevOps professionals to manage and maintain their cloud-native stack.
“Multicloud and cloud-native architectures are critical to helping organizations achieve their digital transformation goals,” said Bernd Greifeneder, Founder and Chief Technology Officer at
Additional findings from the survey include:
-
45% of CIOs say it’s too costly to manage the large volume of observability and security data using existing analytics solutions, so they only keep what is most critical. -
On average, organizations capture only
10% of observability data for querying and analytics. -
Nearly two-thirds (
63% ) of CIOs say the costs and delays caused by reindexing and rehydration make it challenging to unlock value from the increasing amount of data they capture. -
43% of CIOs say current approaches to observability data ingestion and storage won’t support their future needs. -
93% of CIOs say AIOps and automation are increasingly vital to alleviating the shortage of skilled IT, development, and security professionals and reducing the risk of teams becoming burned out by the complexity of modern cloud and development environments.
“Amidst a sea of data, individual data points are far more valuable when they retain context, which is why teams invest so much effort trying to correlate different streams,” continued Greifeneder. “But today’s manual approaches are too reactive and slow, and they miss the most important insights. Teams urgently need a new approach to observability and security data analytics and management. AI and automation should underpin this approach, and it should be capable of unifying all data and keeping its relationships and dependencies intact. This will enable organizations to maximize the value of their data and people, reducing the time spent on mundane manual tasks and enabling faster, more secure innovation.”
The report is based on a global survey of 1,303 CIOs and senior IT practitioners involved in cloud and IT operations management in large enterprises with more than 1,000 employees, conducted by
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meg.brenner@dynatrace.com
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